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Stanford University

Stanford Seminar - Accessibility and the AI Autumn - Jeff Bigham

Stanford University via YouTube

Overview

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This seminar examines accessibility as a human-computer interaction field and connects it to artificial intelligence and machine learning. It discusses screen readers, alt text, semantic interfaces, disability as a design perspective, and access technology for real-world devices and touchscreens.

Syllabus

Introduction.
Human-Computer Interaction.
The Long Slog Against Ability Assumptions.
What does a screen reader do?.
Alt Text Today.
Hiding Accessibility.
First and Second Class Abilities.
Designing What Users Don't Want.
Discoverability.
Help, my semantics became pixels.
Audio CAPTCHAs and Screen Readers.
People with Disabilities as Early Adopters.
Machine Learning Arcs and Cycles.
Designing for Ability Outliers.
Dyslexia Detection.
Making Memes Accessible.
Real-World Devices.
Real-World Touchscreens.
Adding Risk-Free Exploration to Legacy Touchscreens.
Blind Participant #5 Completing task with app guidance.

Taught by

Stanford Online

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